Publications

Chen Z, Wu Z, Sadikaj Y , Plant C, Dai HN, Wang S et al. ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. arXiv. 2024.

Qian L, Qian J, Sun X, Guo W, Böhm C. ADOD: Adaptive Density Outlier Detection. In IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024. IEEE. 2024. p. 400-409

Miklautz L, Klein T , Sidak K, Leiber C, Lang T , Shkabrii A et al. Breaking the Reclustering Barrier in Centroid-based Deep Clustering. arXiv. 2024. doi: 10.48550/arXiv.2411.02275

Beer A, Palotás O, Maldonado A, Draganov A, Assent I. DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics. In 40th IEEE International Conference on Data Engineering, ICDE 2024, Utrecht, The Netherlands, May 13-16, 2024. IEEE. 2024. p. 1143-1156

Qian L, Plant C, Qin Y, Qian J, Böhm C. DynoGraph: Dynamic Graph Construction for Nonlinear Dimensionality Reduction. In IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024. IEEE. 2024. p. 827-832

Arafat NA, Mobaraki EB, Khan A, Velaj Y, Bonchi F. Estimate and Reduce Uncertainty in Uncertain Graphs. In 11th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2024, San Diego, CA, USA, October 6-10, 2024. IEEE. 2024. p. 1-12

Klein T, Miklautz L, Sidak K , Plant C , Tschiatschek S. Plasticity Loss in Deep Reinforcement Learning: A Survey. arXiv. 2024. doi: 10.48550/arXiv.2411.04832

Roth A, Bause F , Kriege NM, Liebig T. Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph. 2024. Paper presented at Learning on Graphs Conference (LoG) 2024.

Paar E, Schmude T , Cinar C. Spotlight Erklärbare KI: Eine Besprechung ausgewählter Use Cases aus rechtlicher und technologischer Perspektive. Juridikum. Zeitschrift für Kritik, Recht, Gesellschaft. 2024;244-253. doi: 10.33196/juridikum202402024401

Beer A, Heinrigs M, Plant C, Assent I. Temporal Subspace Clustering for Molecular Dynamics Data. arXiv. 2024.

Stephan A, Miklautz L, Leiber C, Araujo PHLD, Repas D, Plant C et al. Text-Guided Alternative Image Clustering. ACL Anthology. 2024, p. 177-190.

Klein T, Weinberger S, Singla A, Tschiatschek S. Active Third-Person Imitation. arXiv.org. 2023 Dec 27.

Leeb H , Steinberger L. Statistical inference with F-statistics when fitting simple models to high-dimensional data. Econometric Theory. 2023 Dec 27;39(6):1249-1272. Epub 2021 Sept 27. doi: 10.1017/S026646662100044X

Lüer F, Weber T, Dolgich M, Böhm C. Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores. In IEEE International Conference on Data Mining (2023). 2023

Fröhlich GEA, Gansterer M, Dörner KF. Safe and secure vehicle routing: a survey on minimization of risk exposure. International Transactions in Operational Research. 2023 Nov;30(6):3087-3121. Epub 2022 Mar 1. doi: 10.1111/itor.13130

Feierl L, Möller T, Luidolt P. SunScreen: Visual Fault Detection for Solar-Thermal Systems. IEEE Computer Graphics & Application . 2023 Nov;43(6):87-100. doi: 10.1109/MCG.2023.3308962

Posch L, Miret-Roig N, Alves J, Ratzenböck S, Großschedl J, Meingast S et al. The Corona Australis star formation complex is accelerating away from the Galactic plane. Astronomy & Astrophysics. 2023 Nov;679:L10. Epub 2023 Nov 15. doi: 10.1051/0004-6361/202347186

Grosse-Wentrup M , Kumar A, Meunier A, Zimmer M. Neuro-Cognitive Multilevel Causal Modeling: A Framework that Bridges the Explanatory Gap between Neuronal Activity and Cognition. bioRxiv. 2023 Oct 27, p. 1. doi: 10.1101/2023.10.27.564404

Bomze I , Gabl M. Optimization under uncertainty and risk: Quadratic and copositive approaches. European Journal of Operational Research. 2023 Oct 16;310(2):449-476. Epub 2022 Nov 30. doi: 10.1016/j.ejor.2022.11.020

Nguyen MH, Tschiatschek S, Singla A. Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming from One-Shot Observation. arXiv.org. 2023 Oct 15.